Zambian Language Trainer Window
Curate local language datasets and trigger asynchronous machine learning training
Multilingual
Select Target Zambian Dialect to Manage & Train:
πΏπ²
Unified (All)
πΏπ²
Chibemba
πΏπ²
Chinyanja
πΏπ²
Chitonga
πΏπ²
Silozi
π¬π§
English
π
Mixed/General
Local Dataset Inspector: All
25506 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| “@sneakerhead226: I cant talk right now i got pussy on my tongue” | Mixed | Abusive | User Added |
| “@slllick_: Y'all be like.. " I want a love like Rashad & New New"... Shit y'all already got one. Lying about who you are ass hoes lmao” 😂😂 | Mixed | Abusive | User Added |
| “@skykardashian: Is "hoe by association" a real thing?” Yes. | Mixed | Abusive | User Added |
| “@skinnysowhat: @PAPER_CHAYSIN you won't have to herd for hoes no more lol” lmao I hope not this shit SCHRESSFUL | Mixed | Abusive | User Added |
| “@skinnysowhat: @PAPER_CHAYSIN aye and when the hoes start coming don't forget who put you on 😌” I won't !!! 😁😁😁 | Mixed | Abusive | User Added |
| “@skimaskjojo: “@1waynostra: Dat bird bitch”HEAVY BIRDCAGE BITCH” byyyyyyrrrrrrrrrrrrr bitch 🐥 | Mixed | Abusive | User Added |
| “@scoop82294: If you don't have your read receipts on you a bitch” the bitchyest bitch ever | Mixed | Abusive | User Added |
| “@schoolfession: "This was hung in the boys bathroom..." - St. Dominic http://t.co/OErALv45gI” @outlawdipper silly bitches. | Mixed | Abusive | User Added |
| “@sc_waters: “@what_evaittakes: Ya niggas play to fuck my niggas play for keeps😎”‼️😂😎”these bitches can't fuck wit me 😩😩 | Mixed | Abusive | User Added |
| “@sarahecarroll: 100% of the female population needs to stop being such a bitch” | Mixed | Abusive | User Added |
| “@sammyk1429: "I am not a bitch, I am the bitch. So that is Ms. Bitch to you!" 😜” | Mixed | Abusive | User Added |
| “@salsteelo: I got 1 felony!!!” I got bitches | Mixed | Abusive | User Added |
Add Local Phrase
Batch Import CSV
CSV OnlyUpload a custom CSV file to bulk import training data across all languages. Required columns: phrase (or text), category (0=Hate, 1=Abusive, 2=Safe), and optionally language.
Model Training Control
20%
Evaluation Results
Trained Algorithm:
Decision Tree
ACCURACY
F1 SCORE
Confusion Matrix Grid
46
0
0
2
41
4
0
0
47
Columns: Predicted
Rows: Actual
Algorithm Accuracy Graph